Open-source framework for building LLM-powered applications with 700+ integrations and agent orchestration.
Why it matters now: Dominant LLM orchestration framework with production-grade agent support and ecosystem.
LangChain is the dominant open-source framework for building LLM-powered applications and AI agents, offering a unified interface for chaining LLM calls, retrieval systems, and tools. Founded by Harrison Chase in October 2022, it gained explosive traction after ChatGPT’s release and, with 124K stars and 700+ integrations today, has evolved from a wrapper library into a platform spanning LangChain Core (runtime), LangGraph (agent orchestration), LangServe (deployment), and LangSmith (observability).
The framework excels at orchestrating complex AI workflows where multiple LLMs, tools, and retrieval systems must coordinate. LangGraph reached general availability in May 2025, bringing stateful agent execution to production. LangSmith provides observability with a freemium model (5,000 traces/month free). The codebase maintains a rapid release cadence — v1.3.13 shipped July 10, 2026.
Competing frameworks like LlamaIndex (RAG-focused), Haystack, and CrewAI address specific niches, but LangChain remains the breadth leader. Some teams find its orchestration overhead unnecessary for simpler use cases, and architectural changes between versions can require migration work. Momentum remains strong, backed by significant funding and a roadmap toward managed agent hosting via LangGraph Platform.
Python 3.10+; runs on Windows, macOS, Linux. Optional API keys for 700+ integrations. Minimal system requirements, can run on 4 GB RAM.